The aim of the training session is to provide participants with basic information on the GNU project and GNU/Linux operating system. In particular,…
This training aims to enable the use of deep learning models on various data (image, sound, text, etc.).
Topics include short theoretical introduction of neural networks, TensorFlow library basics, basic model construction, regression and classification…
On clusters and distributed memory architectures, parallel programming with the Message Passing Interface (MPI) is the dominating programming model.…
Overview: Are you interested in computational biomolecular simulation methods such as Molecular Dynamics simulations, but scared to make the first…
YALES2 aims at the solving of two-phase combustion from primary atomization to pollutant prediction on massive complex meshes. It is able to handle…
Overview and Description: Graphs are powerful combinatorial data structures that can model real-life data and the relationships among the entities…
We will introduce several ways in which trivially embarrassingly parallel tasks can be run in laptops and desktops. We will introduce command-line…
This 4-days combined workshop/hackathon (2-day/2-day) will introduce young scientists from the electronic structure community to the latest…
This course is from beginners level (the first steps on a supercomputer) to intermediate level (some experience on VSC or another compute cluster).…
The objective of this PATC course is to cover the basics of a high performance computing (HPC) environment oriented towards earth science…
The workshop will provide students, researchers and market players interested in HPC as a potential user with up-to-date information on HPC, user…
